| Tuesday 12 | Wednesday 13 | Thursday 14 | Friday 15 | Saturday 16 | |||||||||
| 08:50 09:00 | Opening ceremony | ||||||||||||
| 08:00 08:30 | Registration | 08:00 08:30 | Registration | 09:00 10:00 |
Invited talk: Willi Kloesgen |
08:50 09:50 |
Invited talk: Arno Siebes |
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| 08:30 10:30 |
Workshops 1 to 6 |
08:30 10:30 |
Tutorials T5 / T3 |
10:00 10:15 | Coffee break | 09:20 11:00 | Oral presentations S3A / S3B | 10:00 11:15 | Oral presentations S5A / S5B | ||||
| 10:30 10:45 | Coffee break | 10:30 10:45 | Coffee break | 10:15 11:30 | Oral presentations S1A / S1B | 11:00 11:20 | Coffee break | 11:15 11:45 | Coffee break | ||||
| 10:45 12:45 |
Workshops 1 to 6 |
10:45 12:45 |
Tutorials T5 / T4 |
11:30 13:10 | Posters session PS1 | 11:20 13:00 | Posters session PS2 | 11:45 13:00 | Discovery Challenge Panel | ||||
| 12:45 14:45 | Lunch | 12:45 14:45 | Lunch | 13:10 14:45 | Lunch | 13:00 14:45 | Lunch | 13:00 14:45 | Lunch | ||||
| 14:45 16:15 |
Workshops 1 to 6 |
14:45 16:15 |
Tutorials T1 / T2 |
14:45 16:25 | Oral presentations S2A / S2B | 14:45 15:45 |
Invited talk: Luc De Raedt |
14:45 16:25 | Posters session PS3 | ||||
| 16:15 16:30 | Coffee break | 16:15 16:30 | Coffee break | 15:45 16:10 | Coffee break | 16:25 16:45 | Coffee break | ||||||
| 16:30 18:00 |
Workshops 1 to 6 |
16:30 18:00 |
Tutorials T1 / T2 |
16:10 17:50 | Oral presentations S4A / S4B | 16:45 17:30 | Business meeting | ||||||
| 18:30 21:00 | Welcome cocktail party | 17:00 24:00 | Trip to Beaujolais (wine cellar visit + banquet) | ||||||||||
S1A: Towards broader foundations
Arno J. KNOBBE, Arno SIEBES, Hendrik BLOCKEEL, and Daniël van der WALLEN: Multi-Relational Data Mining, Using UML for ILP
Akihiro INOKUCHI, Takashi WASHIO, and Hiroshi MOTODA: An Apriori-based Algorithm for Mining Frequent Substructures from Graph Data
Maurice BERNADET: Basis of a Fuzzy Knowledge Discovery System
S1B: Rules and trees
Dragan GAMBERGER, and Nada LAVRAC: Confirmation rule sets
Marc SEBBAN, and Richard NOCK: Contribution of Dataset Reduction Techniques to Tree-Simplification and Knowledge Discovery
Ljupco TODOROVSKI, and Saso DZEROSKI: Combining Multiple Models with Meta Decision Trees
Tadeusz MORZY, Marek WOJCIECHOWSKI, and Maciej ZAKRZEWICZ: Materialized Data Mining Views
Jean-François BOULICAUT, Arthur BYKOWSKI, and Christophe RIGOTTI: Approximation of frequency queries by means of free-sets
Paul MUNTEANU, and Denis CAU: Efficient Score-based Learning of Equivalence Classes of Bayesian Networks
Christophe DRUET, Damien ERNST, and Louis WEHENKEL: Application of Reinforcement Learning to Electrical Power System Closed-Loop Emergency Control
Melanie HILARIO, and Alexandros KALOUSIS: Quantifying the Resilience of Inductive Classification Algorithms
Alexey TSYMBAL, and Seppo PUURONEN: Bagging and Boosting with Dynamic Integration of Classifiers
Carlos SOARES, and Pavel B. BRAZDIL: Zoomed Ranking: Selection of Classification Algorithms Based on Relevant Performance Information
Pierre GEURTS: Some enhancements of decision tree bagging
S3A: Association rules and exceptions
Marcus-Christopher LUDL, and Gerhard WIDMER: Relative Unsupervised Discretization for Association Rule Mining
Jochen HIPP, Ulrich GÜNTZER, and Gholamreza NAKHAEIZADEH: Mining Association Rules: Deriving a Superior Algorithm by Analysing Today's Approaches
Einoshin SUZUKI, and Jan ZYTKOW: Unified Algorithm for Undirected Discovery of Exception Rules
Jean-Hugues CHAUCHAT, Ricco RAKOTOMALALA, and Didier ROBERT: Sampling Strategies for targeting rare groups from a bank customer database
S3B: Instance-based discovery
Jinyan LI, Guozhu DONG, and Kotagiri RAMAMOHANARAO: Instance-Based Classification by Emerging Patterns
Gautam DAS, and Heikki MANNILA: Context-Based Similarity Measures for Categorical Databases
Ngoc Binh NGUYEN, and Tu Bao HO : A Mixed Similarity Measure in Near-Linear Computational Complexity for Distance-based Methods
Stéphane LALLICH, and Ricco RAKOTOMALALA: Fast feature selection using partial correlation for multi-valued attributes
S4A: Clustering and classification
Markus M. BREUNIG, Hans-Peter KRIEGEL, and Jörg SANDER: Fast Hierarchical Clustering Based on Compressed Data and OPTICS
Ljupco TODOROVSKI, Peter FLACH, and Nada LAVRAC: Predictive Performance of Weighted Relative Accuracy
Bin ZHANG, Meichun HSU, and George FORMAN: Accurate Recasting of Parameter Estimation Algorithms using Sufficient Statistics for Efficient Parallel Speed-up Demonstrated for Center-Based Data Clustering Algorithms
Maria HALKIDI, M. VAZIRGIANNIS, and Y. BATISTAKIS: Quality scheme assessment in the clustering process
S4B: Discovery Challenge
S5A: Time Series
Iztok SAVNIK, Georg LAUSEN, Hans-Peter KAHLE, Heinrich SPIECKER, and Sebastian HEIN: Algorithm for Matching Sets of Time Series
Georg LAUSEN, Iztok SAVNIK, and Aldar DOUGARJAPOV: MSTS: A System for Mining Sets of Time Series
Juan J. RODRIGUEZ, Carlos J. ALONSO, and Henrik BOSTRÖM: Learning First Order Logic Time Series Classifiers : Rules and Boosting
S5B: Discovery Challenge
Posters sessions
Poster Session and Demonstrations PS1
Electronic poster sessions are available on
PKDD 2000 discussion forum
Sylvia ACID, and Luis M. DE CAMPOS: Learning Right Sized Belief Networks by Means of a Hybrid Methodology
Brock BARBER, and Howard J. HAMILTON: Algorithms for Mining Share Frequent Itemsets Containing Infrequent Subsets
Hilan BENSUSAN, and Christophe GIRAUD-CARRIER: Discovering task neighbourhoods through landmark learning performances
Leon BOBROWSKI, and Marek KRETOWSKI: Induction of Multivariate Decision Trees by using Dipolar Criteria
Sam BREWER, and Tom KHABAZA: Inductive Logic Programming in Clementine
Deborah R. CARVALHO, and Alex A. FREITAS: A genetic algorithm-based solution for the problem of small disjuncts
Antonio CIAMPI, and Yves LECHEVALLIER: Clustering Large, Multi-Level Data Sets: An Approach Based On Kohonen Self Organizing Maps
Antonio CIAMPI, Djamel A. ZIGHED, and Jérémy CLECH: Trees and induction graphs for multivariate response
Richard COLE, Peter EKLUND, and Gerd STUMME: CEM - Visualisation and Discovery in Email
Chabane DJERABA: Image access and data mining : an approach
Nikos DROSSOS, Athanasios PAPAGELIS, and Dimitris KALLES: Decision Tree Toolkit: A Component-based Library of Decision Tree Algorithms
Laurent DURY, Laurence LEHERTE, and Daniel P. VERCAUTEREN: Determination of Screening Descriptors for Chemical Reaction Databases
A. J. FEELDERS: Prior knowledge in economic applications of data mining
Pierre GEURTS, Louis WEHENKEL: Temporal machine learning for switching control
David GROSSER, Jean DIATTA, and Noël CONRUYT: Improving Dissimilarity Functions with Domain Knowledge, applications with IKBS system
Attila GYENESEI: Mining Weighted Association Rules for Fuzzy Quantitative Items
Eui-Hong (Sam) HAN, and George KARYPIS: Centroid-Based Document Classification: Analysis & Experimental Results
Robert J. HILDERMAN, and Howard J. HAMILTON: Applying Objective Interestingness Measures in Data Mining Systems
Martin HOLENA: Observational Logic Integrates Data Mining Based on Statistics and Neural Networks
Poster Session and Demonstrations PS2
Electronic poster sessions are available on
PKDD 2000 discussion forum
Dimitar HRISTOVSKI, Saso DZEROSKI, Borut PETERLIN, and Anamarija ROZIC-HRISTOVSKI: Supporting Discovery in Medicine by Association Rule Mining of Bibliographic Databases
Hillol KARGUPTA, Weiyun HUANG, Krishnamoorthy SIVAKUMAR, Byung-Hoon PARK, and Shuren WANG: Collective Principal Component Analysis from Distributed, Heterogeneous Data
Saori KAWASAKI, Ngoc Binh NGUYEN, and Tu Bao HO: Hierarchical Document Clustering Based on Tolerance Rough Set Model
Jörg KELLER, Valerij BAUER, and Wojciech KWEDLO: Application of Data-Mining and Knowledge Discovery in Automotive Data Engineering
Jan KOMOROWSKI, Torgeir R. HVIDSTEN, Tor-Kristian JENSSEN, Dyre TJELDVOLL, Eivind HOVIG, Arne K. SANVIK, and Astrid LAEGREID: Towards Knowledge Discovery from cDNA Microarray Gene Expression Data
Marzena KRYSZKIEWICZ: Mining with Cover and Extension Operators
Pascale KUNTZ, Fabrice GUILLET, Rémi LEHN, and Henri BRIAND: A User-Driven Process for Mining Association Rules
Carsten LANQUILLON: Learning from Labeled and Unlabeled Documents: A Comparative Study on Semi-Supervised Text Classification
P.A. LAUR, F. MASSEGLIA, and P. PONCELET: Schema Mining: Finding Structural Regularity among Semistructured Data
Bing LIU, Yiming MA , and Ching Kian WONG: Improving an Association Rule Based Classifier
Chung-Leung LUI, and Fu-Lai CHUNG: Discovery of generalized association rules with multiple minimum supports
Adele MARSHALL, Sally McCLEAN, Mary SHAPCOTT, and Peter MILLARD: Learning Dynamic Bayesian Belief Network using Conditional Phase-Type Distributions
José F. MARTINEZ-TRINIDAD, Miriam VELASCO-SANCHEZ, and Edgar E. CONTRERAS-ARAVELO: Discovering differences in patients with uveitis through typical testors by class
F. MASSEGLIA, P. PONCELET, and M. TEISSEIRE: Web Usage Mining : how to Efficiently manage New transactions and new clients
Frédéric MOAL, Teddy TURMEAUX, and Christel VRAIN: Mining Relational Databases
Maybin K. MUYEBA, and John A. KEANE: Interestingness In Attribute-Oriented Induction (AOI): Multiple-level Rule Generation
Takashi OKADA, and Mayumi OYAMA: Discovery of Characteristic Subgraph Patterns using Relative Indexing and the Cascade Model
Gerhard PAASS, and Jorg KINDERMANN: Transparency and Predictive Power. Explaining Complex Classification Models
Srinivasan PARTHASARATHY, and Mitsunori OGIHARA: Clustering Homogeneous Datasets for Distributed Mining
Poster Session and Demonstrations PS3
Electronic poster sessions are available on
PKDD 2000 discussion forum
Petra PERNER, and Chid APTE: Empirical Evaluation of Feature Subset Selection based on a Real-World Data Set
Gerard RAMSTEIN, Pascal BUNELLE, and Yannick JACQUES: Discovery of ambiguous patterns in sequences. Application to bioinformatics
Zbigniew W. RAS, and Alicja WIECZORKOWSKA: Action-Rules : how to increase profit of a company
Gilbert RITSCHARD, and Nicolas NICOLOYANNIS: Aggregation and Association in Cross Tables
Céline ROBARDET, Fabien FESCHET, and Nicolas NICOLOYANNIS: An experimental study of partition quality indices in clustering
Fabrice ROSSI, and Frédérick VAUTRAIN: Expert Constrained Clustering: a Symbolic Approach
Ansaf SALLEB, and Christel VRAIN: An Application of Association Rules Discovery to Geographic Information Systems
Dan A. SIMOVICI, Dana CRISTOFOR, and Laurentiu CRISTOFOR: Generalized Entropy and Projection Clustering of Categorical Data
Vojtech SVATEK, and Martin KAVALEC: Supporting Case Acquisition and Labelling in the Context of Web Mining
Pang-Ning TAN, Vipin KUMAR, and Jaideep SRIVASTAVA: Indirect Association: Mining Higher Order Dependencies in Data
Tudor TEUSAN, Gilles NACHOUKI, Henri BRIAND and Jacques PHILIPPE: Discovering Association Rules in Large, Dense Databases
Peter TSELIOS, Agapios PLATIS, and George VOUROS: Providing advice to Website Designers towards effective websites re-organization
Shusaku TSUMOTO: Clinical Knowledge Discovery in Hospital Information Systems: Two Case Studies
Stijn VIAENE, B. BAESENS, T. VAN GESTEL, J.A.K. SUYKENS, D. VAN DEN POEL, J. VANTHIENEN, D. DE MOOR, and G. DEDENE: Knowledge discovery using Least Squares Support Vector Machine Classifiers: a Direct Marketing Case
Sholom M. WEISS, Brian F. WHITE, and Chidanand V. APTE: Lightweight Document Clustering
Hsin-Chang YANG, and Chung-Hong LEE: Automatic Category Structure Generation and Categorization of Chinese Text Documents
Show-Jane YEN: Mining Generalized Multiple-Level Association Rules
Show-Jane YEN, and Chung-Wen CHO: An Efficient Approach to Discovering Sequential Patterns from Large Databases
Ning ZHONG, Juzhen DONG, and Setsuo OHSUGA: Using Background Knowledge as a Bias to Control the Rule Discovery Process
Pavel Brazdil and Alipio Jorge (University of Porto, Portugal)
Data Mining, Decision Support, Meta-learning and ILP: Forum for Practical Problem
John F. Roddick, Flinders U. (South Australia), and Kathleen Hornsby (U.Maine, USA)
PKDD Workshop on Temporal, Spatial and Spatio-Temporal Data Mining (TSDM2000)
Jan Komorowski (Norwegian University of Science and Technology, Trondheim, Norway)
Knowledge Discovery in Biology
Hugo Zaragoza (LIP6, University Paris 6, France), Patrick Gallinari (LIP6, University Paris 6, France), and Martin Rajman (EPFL, Switzerland)
Machine Learning and Textual Information Access
Jean-Louis Ermine (CEA Paris, France)
Knowledge Management: Theory and Applications
Edwin Diday (University of Paris Dauphine, France)
Symbolic Data Analysis: Theory, Software and Applications for Knowledge Mining
Tutorials
Tutorial T1 (3 hours)
H. Kargupta (Washington State University, USA)
An Introduction to Distributed Data Mining
Tutorial T2 (3 hours)
A. Hinneburg and D.A. Keim (University of Halle, Germany)
Clustering Techniques for large Data Sets: from the past to the future
Tutorial T3 (2 hours)
M. Spiliopoulou (Humboldt Universitat zu Berlin, Germany)
Data Analysis for Web Marketing and Merchandizing Applications
Tutorial T4 (1 hour 30)
W. Lehner (University of Erlangen-Nuremberg, Germany)
Database Support for business Intelligence Applications
Tutorial T5 (4 hours)
Yves Kodratoff, Djamel Zighed and Serge Di Palma (France)
Text Mining
Invited talks
Invited talk 1: Willi Kloesgen (GMD, Germany), Multi-relational, statistical, and visualization approaches for spatial knowledge discoveryEvents
Welcome cocktail party offered by Bruno Gelas, the President of the University Lumière Lyon 2.